[GRASS-user] Probabilistic neighborhood analysis

[Veronica Andreo]

Hello Bernardo,

I haven't tested myself, but have you tried r.neighbors with the different
weight-related options?

Vero

El mié, 14 dic 2022 a las 10:38, Bernardo Santos via grass-user (<
grass-user at lists.osgeo.org>) escribió:

> Hi,
>
> I am trying to produce scenarios of past land cover, before hydropower
> reservoirs were built. To do so, I need to fill empty pixels from a raster
> in the locations where the reservoirs are currently present, using as input
> the actual land cover map. I tried doing that with r.neighbors (taking
> method=mode) with neighborhoods of increasing size, to replace null pixels
> with the most common land cover class in the neighborhood. I also tried
> that with r.fill.stats which is basically the same thing.
> However, the results gets very homogeneous, since the interpolated null
> cells always get the value of the most common land cover class.
>
> Do anyway know of a method in GRASS to perform a "probabilistic"
> neirighborhood analysis, where cells in a neighborhood are given weights
> (possibly related to the distance to the central cell and to their
> frequency) and these weights are used to stocastically sample a value to
> fill the central cell?
> If not in GRASS, does anyway know of such a method in a different
> platform, i.e. R?
>
> Thanks!
> Best
> Bernardo
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